Reliable geodata is essential for informed decisions, such as preparing emergency supply chains, assessing road conditions, identifying healthcare gaps, or guiding climate investments. Yet in many regions, this information is…
neuer globaler Datensatz zeigt Lücken beim Zugang zu Bildungseinrichtungen und der Gesundheitsversorgung auf Zahlen allein erzählen selten die ganze Geschichte – etwa darüber, ob ein Kind zur Schule geht oder…
This blog article was originally posted on Medium by Maciej Adamiak, machine learning expert at HeiGIT. It’s very easy to take many things around us for granted, especially when you live…
The Sketch Map Tool was strategically used within Colombia’s National Disaster Management System to steer community mapping in the southern city of Cali. The National Unit for Disaster Risk Management…
In recent years, HeiGIT has dedicated time to experimenting with new ideas, technologies, and collaborations, free from the immediate pressure to deliver results. What started as a new experience has…
Automatically generated map data has become far more common, reducing the amount of direct human involvement. AI-assisted mapping, where human validation refines machine-generated output, is increasingly used to update crowdsourced…
Das Jahr 2025 war für HeiGIT ein aufregendes Jahr, geprägt von neuen Projekten, frischen Ideen und zahlreichen technischen wie organisatorischen Veränderungen. Zugleich bot es Anlass zur Reflexion darüber, woher wir…
In humanitarian emergencies, delivering relief in time is key. Every minute and every mile matter to deliver aid to those who need it the most. Optimized routing can save lives,…
